Author name cluster

Jennifer Chu-Carroll

Possible papers associated with this exact author name in Arrow. This page groups case-insensitive exact name matches and is not a full identity disambiguation profile.

3 papers

1 author row

AAAI Conference 2011 Conference Paper

Leveraging Wikipedia Characteristics for Search and Candidate Generation in Question Answering

Jennifer Chu-Carroll
James Fan

Most existing Question Answering (QA) systems adopt a type-and-generate approach to candidate generation that relies on a pre-deﬁned domain ontology. This paper describes a type independent search and candidate generation paradigm for QA that leverages Wikipedia characteristics. This approach is particularly useful for adapting QA systems to domains where reliable answer type identiﬁcation and typebased answer extraction are not available. We present a threepronged search approach motivated by relations an answerjustifying title-oriented document may have with the question/answer pair. We further show how Wikipedia metadata such as anchor texts and redirects can be utilized to effectively extract candidate answers from search results without a type ontology. Our experimental results show that our strategies obtained high binary recall in both search and candidate generation on TREC questions, a domain that has mature answer type extraction technology, as well as on Jeopardy! questions, a domain without such technology. Our high-recall search and candidate generation approach has also led to high overall QA performance in Watson, our end-to-end system.

PDF Details

IJCAI Conference 1995 Conference Paper

Generating Information-Sharing Subdialogues in Expert-User Consultation

Jennifer Chu-Carroll
Sandra Carberry

In expert-consultation dialogues, it is inevitable that an agent will at times have insufficient information to determine whether to accept or reject a proposal by the other agent This results in the need tor the agent to initiate an information-sharing subdialogue to form a set of shared beliefs within which the agents can effectively re-evaluate the proposal This paper presents a computational strategy for initiating such information-sharing subdialogues to resolve the system s uncertainty regarding the acceptance of a user proposal Our model determines when information sharing should be pursued se lects a focus of information-sharing among multiple uncertain beliefs chooses the most effective information-sharing strategy and utilizes the newly obtained information to re-evaluate the user proposal Furthermore our model is capable of handling embedded informauon sharing subdialogues

PDF

AAAI Conference 1994 Conference Paper

A Plan-Based Model for Response Generation in Collaborative Task-Oriented Dialogues

Jennifer Chu-Carroll

This paper presents a plan-based architecture for response generation in collaborative consultation dialogues, with emphasis on cases in which the system (consultant) and user (executing agent) disagree. Our work contributes to an overall system for collaborative problem-solving by providing a plan-based framework that captures the Propose-EvaZuate- Modijj cycle of collaboration, and by allowing the system to initiate subdialogues to negotiate proposed additions to the shared plan and to provide support for its claims. In addition, our system handles in a unified manner the negotiation of proposed domain actions, proposed problem-solving actions, and beliefs proposed by discourse actions. Furthermore, it captures cooperative responses within the collaborative framework and accounts for why questions are sometimes never answered.

PDF Details